1 Invasive exotic aoudad (Ammotragus lervia) as a major

2 threat to native ( pyrenaica): A

3 habitat suitability model approach

4

5 Pelayo Acevedo1, Jorge Cassinello1*, Joaquín Hortal2,3,4**, Christian

6 Gortázar1

7

8 1Instituto de Investigación en Recursos Cinegéticos (IREC), CSIC-UCLM-JCCM. 9 Ronda de Toledo s/n, 13071 Ciudad Real, 10 2Biodiversity and Global Change Lab., Museo Nacional de Ciencias Naturales, CSIC. 11 C/José Gutiérrez Abascal 2, 28006 Madrid, Spain 12 3Departamento de Ciências Agrárias, CITA-A. Universidade dos Açores. Campus de 13 Angra, Terra-Chã, Angra do Heroísmo, 9701-851 Terceira (Açores), 14 4Center for Macroecology, Institute of Biology, University of Copenhagen. 15 Universitetsparken 15, DK-2100 Copenhagen O, Denmark 16

17 Running head: Niche relationships between Iberian ibex and aoudad

18

19 *Author for correspondence:

20 Dr. Jorge Cassinello

21 Instituto de Investigación en Recursos Cinegéticos (IREC), CSIC-UCLM-JCCM.

22 Ronda de Toledo s/n, 13003 Ciudad Real (Spain)

23 E-mail: [email protected]

24 ** Present address: NERC Centre for Population Biology, Division of Biology,

25 Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY,

26 UK

27

1 28 ABSTRACT

29 The introduction of alien to new environments is one of the main threats

30 to the conservation of biodiversity. One particularly problematic example is that

31 of wild which are increasingly being established in regions outside

32 their natural distribution range due to human hunting interests. Unfortunately,

33 we know little of the effects these large herbivores may have on the host

34 ecosystems. This study deals with a first comparative analysis of the habitat

35 requirements of two species that may be facing competition for

36 resources in the south of : the native Iberian ibex (Capra pyrenaica) and

37 the exotic aoudad (Ammotragus lervia). The aoudad is a North African caprid

38 introduced in 1970 as a species in southeastern Spain. It has adapted

39 well and populations have been freely expanding since then. ENFA is used to

40 describe the realized niche of both species where their distribution ranges

41 merge. Both species occupy marginal areas of rugged terrain in the region.

42 Marginality is higher for the Iberian ibex, which also presents a higher tolerance

43 of secondary environmental gradients than the aoudad. Highly suitable areas

44 for each species are secondarily-suitable for the other. Reclassified and cross-

45 tabulated habitat suitability maps showing the areas of potential spatial

46 coexistence and differences in ecological traits between both species are

47 provided. The results obtained do not allow inferring resource competition

48 between these species. However, current aoudad expansion could result in it

49 invading the favoured habitats of the ibex. Inadequate hunting policy and

50 monitoring, and increasing climatic resemblance of the study region to the

51 native aoudad areas, due to a strong desertification process, are facilitating a

52 high rate of expansion. We strongly recommend to erradicate or, at least,

2 53 monitor these exotic populations, and promote active conservation practices, if

54 one wants to preserve the unique natural resources present in this European

55 region.

56

57 Keywords: Biological invasions; ENFA; Habitat suitability modelling; Iberian

58 Peninsula; Resource competition; Ungulates

59

3 60 INTRODUCTION

61 Alien invasive species are considered by the IUCN Species Survival

62 Commission to be the second largest threat to indigenous species, following

63 habitat destruction (Bergmans & Blom 2001). The introduction of alien species

64 in regions beyond their natural distribution ranges may alter the host

65 ecosystems, thus affecting the viability of native fauna and flora (e.g., Diamond

66 1989; Wilcove et al. 1998). However, recent evidence postulates that

67 dominance of alien species over native ones is actually a consequence of

68 degraded ecosystems which facilitate the spread of such aliens (see reviews in

69 Gurevitch & Padilla 2004; Didham et al. 2005). Concerning ungulates, sport

70 hunting is among the main driving forces behind the expansion of various

71 species throughout the world (see, e.g., Macdonald et al. 1988; Gortázar et al.

72 2000; Jaksic et al. 2002).

73

74 Rapid increases in the populations of large herbivores in the

75 are provoking their local overabundance (Cassinello 2000; Gortázar et al.

76 2006). These high densities are resulting in a serious threat for plant

77 communities due to overgrazing pressures (McNaughton 1979; Mace 1991; van

78 de Koppel et al. 1999). Thus, several non-native ungulates, including feral

79 (Capra hircus), the European ( aries musimon) and the aoudad

80 (Ammotragus lervia), pose a serious risk and might be responsible for the

81 rarefaction and of endemic plants (Nogales et al. 2006).

82

83 Uncontrolled exploitation and poaching along with habitat loss and

84 fragmentation used to be the main threat to native European ungulate

4 85 populations. However, current hunting regulations have led to their recovery

86 and even expansion in most countries (e.g., Sidorovich et al. 2003; Geisser &

87 Reyer 2004; Acevedo et al. 2007). Such expansion is noteworthy in areas

88 where game activity is not allowed, i.e., protected lands and those close to

89 urban zones (e.g. Whittaker et al. 2001; Cahill et al. 2003). In the Iberian

90 Peninsula, the expansion of the , Sus scrofa, has been recorded over

91 several decades (Sáez-Royuela & Tellería 1986; Gortázar et al. 2000; Acevedo

92 et al. 2006). Other recent examples are roe , capreolus

93 (Acevedo et al. 2005) and Iberian ibex, Capra pyrenaica (Pérez et al. 2002;

94 Acevedo et al. 2007). Current distribution of the latter is a consequence of both

95 natural and unnatural expansion processes, where most of translocations were

96 carried out posterior to 1970, particularly during 1980s and 1990s (Pérez et al.

97 2002). Also, such expansion may rely on recent habitat changes, i.e.

98 abandonment of agricultural lands, game management translocations (Gortázar

99 et al. 2000), its recovery from past sarcoptic mange epizootics (Pérez et al.

100 1997), and a decrease in hunting pressure on the species, probably caused by

101 the incidence of this disease (see Garrido 2004).

102

103 Of special concern is the aoudad, an African generalist ungulate, which has

104 been successfully introduced outside its African range as a game species in

105 USA and Spain. There, it has adapted formidably to Mediterranean-like regions,

106 where food resources are abundant, in contrast with the desert lands occupied

107 in its native African range. In these areas, the abundance of resources, along

108 with the scarcity of competitors and predators, results in high birth rates and a

109 quick spread of the population (see Wolf et al. 1996). Due to this, the aoudad

5 110 has rapidly adapted to southern Iberian habitats, presenting elevated population

111 growth rates (Cassinello 2000; Cassinello et al. 2004). The effects that this alien

112 species may cause on native flora and fauna are yet uncertain, although its

113 potential as a competitor of native ungulates has already been postulated,

114 mainly based on diet overlap between the aoudad and desert bighorn, Ovis

115 canadensis nelsoni (Simpson et al. 1978) and , hemionus

116 (Krysl et al. 1980).

117

118 The relationships between environmental gradients and the adequacy for the

119 survival of the populations of a species can be used to model the potential

120 response of the species to these gradients (Austin et al. 1990). Such description

121 can be used to produce predictive maps of species distribution (Guisan &

122 Zimmermann 2000; Araújo & Guisan 2006), and to describe the characteristics

123 of the niche of the species (e.g., Chefaoui et al. 2005; Soberón & Peterson

124 2005; Araújo & Guisan 2006; Acevedo et al. in press). Two kinds of predictive

125 maps can be obtained for a species, describing i) current distribution or ii)

126 habitat suitability (i.e., potential distribution). The latter could serve as a tool for

127 the study and threat assessment of biological invasions, as habitat suitability

128 can be used as an indicator of the risk for a particular territory to be invaded by

129 the alien species (e.g., Cassinello et al. 2006).

130

131 The Ecological Niche Factor Analysis (ENFA, Hirzel et al. 2002) models habitat

132 suitability by comparing the environmental response of the species to the

133 environmental characteristics of the entire study area. This methodology can be

134 used to develop habitat suitability maps from raw presence data. Therefore,

6 135 ENFA is recommended when absence data are not available (most databases),

136 unreliable (most cryptic and rare species) or meaningless (invaders) (Hirzel et

137 al. 2001). Recently, it has been proposed that a species niche can be described

138 using ENFA results (Chefaoui et al. 2005; Acevedo et al. in press). Given that

139 the factors identified by ENFA represent the main environmental gradients that

140 are shaping the spatial response of the species in the study region, it can be

141 assumed that the response of a species to these gradients constitutes its

142 realized niche. Therefore, the distribution of habitat suitability scores through

143 these factors could be used to describe and study the characteristics of the

144 realized niche of species, as well as niche differentiation among several related

145 species (Chefaoui et al. 2005; Hortal et al. 2005; Acevedo et al. in press). Here,

146 the realized niche is intended as the portion of the fundamental niche where the

147 species is currently present, rather than where is competitively dominant (the

148 original definition of Hutchinson 1957; see discussion in Soberón & Peterson

149 2005; Araújo & Guisan 2006).

150

151 In this study, we compare habitat requirements and habitat suitability for native

152 Iberian ibex and exotic aoudad inhabiting the southeastern Iberian Peninsula,

153 according to their current distribution (Pérez et al. 2002; Cassinello et al. 2004;

154 Acevedo et al. 2007). Our goal is to compare the environmental requirements of

155 both species to identify differences and similarities (see Acevedo et al. in

156 press), and advance whether competition for resources and threats to the

157 Iberian ibex could be expected. To do this, we use ENFA and the niche

158 description proposed by Chefaoui et al. (2005) to characterize the response of

159 both ungulate species to the main environmental variations in the study area, as

7 160 well as to predict their potential distribution. This is the first attempt to compare

161 ecological traits between aoudads and Iberian ibexes, as to date no field study

162 whatsoever has been carried out in the regions where both species coexist. The

163 results are used to assess the potential impacts of current aoudad expansion in

164 the conservation of ibex populations.

165

166 A recent study by Cassinello et al. (2006) used a similar methodology to assess

167 the ecological niche of the aoudad in southeastern Spain, discriminating

168 between environmental and anthropogenic variables. The present study goes a

169 step forward, exploring potential niche overlap between the aoudad and its

170 close relative of the native Iberian fauna, namely, the Iberian ibex.

171

172 METHODS

173 The study area

174 We have chosen a geographic extent that hosts the environmental extremes

175 present in the SE Iberian Peninsula (i.e., from coast to mountain), the current

176 area of expansion of the aoudad (Cassinello et al. 2004). This encompasses an

177 area 340 km wide and 270 km long (61,961 km2 of land area; UTM 29N

178 geographic reference system; NW corner: 450,000-4,330,000; SE corner:

179 790,000-4,060,000; Fig. 1), including the Sierra Nevada mountain range in the

180 SW (rising over 3,400 m.a.s.l.), the Segura coastal basin in the east (with mean

181 altitudes below 20 m.a.s.l.), as well as several other mountain ranges and high-

182 altitude plains, such as the Sierra Espuña (the site where the introduced

183 aoudad population first became established), the Sierra María, the Sierra de

184 Los Filabres, and the Cazorla, Segura y Las Villas Natural Park.

8 185

186 Data origin

187 Aoudad and Iberian ibex distributional data

188 Aoudad distribution data (Cassinello et al. 2004; Fig. 1) come from field

189 observations and interviews with local shepherds, hunters, biologists and park

190 managers from regional environmental agencies, and verified by visits to the

191 areas where aoudads were reported. Iberian ibex distribution data were also

192 obtained by means of field observations and interviews with forest rangers and

193 staff from environmental agencies (Pérez et al. 2002; Acevedo et al. 2007).

194

195 Environmental data

196 Many climatic and ecological factors have been described to affect the

197 population abundance and distribution of ungulate species in the Iberian

198 Peninsula (e.g., Acevedo et al. 2005, 2006). We selected 12 variables that

199 could act as determinants of current aoudad and Iberian ibex distribution in SE

200 Iberian Peninsula, also encompassing the range of climatic and ecological traits

201 present in the study region (Table 1). Ten of these variables account for

202 environmental variations (climate, habitat structure, vegetation characteristics

203 and geomorphology), and the other two do for human impact.

204

205 Data comes from an Iberian GIS database compiled and managed by J. M.

206 Lobo, A. Jiménez-Valverde, R. M. Chefaoui and J. Hortal. Climate variables

207 were obtained from the monthly values of the digital version of the Spanish

208 National Climate Atlas (provided by the Instituto Nacional de Meteorología;

209 available at http://www.inm.es/). Geomorphology variables were calculated from

9 210 an Iberian Digital Elevation Model of 100 m pixel width. Habitat structure

211 variables were obtained from the 250 m pixel width land use information of the

212 CORINE NATLAN European project (EEA 2000). Finally, two variables

213 accounting for human pressure on aoudad and ibex populations were obtained:

214 distance to urban areas (i.e. to the urban and industrial categories following

215 CORINE land cover map), and distance to the nearest road (including

216 motorways and national and local roads, extracted from the Spanish National

217 Digital Atlas, courtesy of the Instituto Geográfico Nacional; http://www.ign.es/).

218

219 We would like to point out that, although CORINE land cover maps are known

220 to present low spatial accuracy and some spatial errors (see, e.g., Felicísimo &

221 Sánchez-Gago 2002), the CORINE 2000 version has largely improved these

222 aspects (see the updated reports available at

223 http://dataservice.eea.europa.eu/dataservice/). Also CORINE data have been

224 qualified as well suited for distribution modelling, even for habitat specific

225 species such as marshland birds (Virkkala et al. 2005). Therefore, it is doubtful

226 that these drawbacks in CORINE data result in misrepresentations of the

227 relationship between the study species and habitat characteristics.

228

229 All variables were handled and processed in a GIS environment (Clark Labs

230 2004). Information was extracted at 1 km2 grain (1 x 1 km pixels). Such

231 resolution has been chosen as a compromise between the spatial resolution of

232 biological data (see discussion at Chefaoui et al. 2005; see also Acevedo et al.

233 2007, in press) and the scale at which the interaction between the two species

234 might be important. Using a coarser grain we could have been able to find

10 235 stronger relationships with the environmental predictors (see, e.g., Huettmann &

236 Diamond 2006), but our results would be less relevant for the assessment of

237 potential interactions between populations of both species. All variables were

238 Box-Cox normalized prior to their use in the ENFA analyses.

239

240 Statistical analyses

241 Niche modelling

242 BioMapper 3.0 (Hirzel et al. 2004; http://www.unil.ch/biomapper) was used to

243 model the niche of the study species. This software uses ENFA to produce

244 predictive maps of habitat suitability (i.e., potential distribution) from GIS

245 variables (see applications at http://www2.unil.ch/biomapper/bibliography.html).

246 How these maps are produced has already been explained in detail in former

247 works (Hirzel et al. 2002; Cassinello et al. 2006).

248

249 Model validation and accuracy

250 Explained Information (ExI) and Explained Specialisation (ExS) are used to

251 measure how the resulting suitability model explains the observed data. The

252 former accounts for the total variability of the species distribution explained by

253 the model, whereas the latter accounts for additional variability on the

254 marginality and specialisation factors not included in the Explained Information

255 measure (Hirzel et al. 2004). In addition, the robustness and predictive power of

256 the HSMs were assessed by means of the spatially explicit Jackknife cross-

257 validation procedure implemented in Biomapper software (Boyce et al. 2002;

258 Hirzel et al. 2002).

259

11 260 Niche description

261 ENFA analysis identifies two descriptors of species environmental niches:

262 marginality and tolerance coefficients (see above). We also describe the shape

263 of the environmental niche of the species as the variation in the habitat

264 suitability scores throughout the environmental gradient defined by the

265 Marginality Factor (see Chefaoui et al. 2005; Hortal et al. 2005; Acevedo et al.

266 in press). To do this, Marginality Factor scores were divided into a number of

267 homogeneous intervals, and mean habitat suitability scores at each interval

268 were represented for each species. In addition, the HSM map obtained for each

269 species was reclassified (see Chefaoui et al. 2005; Acevedo et al. in press) in

270 three categories according to HSM scores: low habitat suitability (0-33); medium

271 habitat suitability (34-66) and high habitat suitability (66-100). These new maps

272 were cross-tabulated in the GIS environment to pinpoint zones suitable for the

273 two study species (high habitat suitability for the Iberian ibex and high habitat

274 suitability for the aoudad), where coexistence and competition could occur. The

275 environmental variables that characterize each zone were examined using

276 Bonferroni corrected ANOVA analyses (Perneger 1998).

277

278 RESULTS

279 The 12 environmental variables considered were reduced to three factors in

280 both ENFA analyses (see Table 2), explaining 82.34% and 83.20% of the

281 variance in the aoudad and Iberian ibex distributions, respectively. The first

282 axes explained very low percentages of the specialization for both species (<

283 4%).

284

12 285 Maximum and mean slopes, altitude range and presence of forests were the

286 variables with higher scores in the marginality factor for the aoudad model,

287 while low summer temperatures, maximum altitude, mean slope and winter

288 rainfall were so in the ibex model. Temperature range and winter rainfall

289 presented the higher coefficients at the specialization factors for the two

290 species, which thus show similar secondary restrictions (Table 2).

291

292 Both ungulate species occupy marginal areas in the study region (aoudad

293 marginality coefficient = 1.15; ibex marginality coefficient = 2.08, see Fig. 2).

294 However, although the Iberian ibex is more marginal than the aoudad in its

295 environmental selection according to the main environmental gradient in the

296 region, this species is quite tolerant to the secondary environmental gradients

297 (tolerance coefficient = 0.84). Therefore, ibex distribution appears to be more in

298 equilibrium with regional conditions than aoudad distribution, which is less

299 tolerant of secondary gradients (tolerance coefficient = 0.68). Moreover, highly

300 suitable areas for each species were secondarily suitable for the other one (Fig.

301 2).

302

303 The HSMs thus obtained are highly reliable, since our model validation

304 produced the following outcome: ExI = 66%, ExS = 83%, and average

305 Spearman coefficient at Jackknife validations of 0.97 for the ibex, and ExI =

306 65%, ExS = 82%, and Spearman coefficient = 0.95 for the aoudad.

307

308 Reclassified HSMs for both species are shown in Fig. 3, where areas of low,

309 medium and high habitat suitability are depicted. Cross-tabulated HSMs show

13 310 the areas of spatial coexistence between both species (i.e., highly suitable for

311 both species) as well as those areas highly suitable for each exclusively (Fig.

312 4). High suitability areas were significantly different in ecological traits for the

313 two species (Table 3, Fig. 5), and were also different from the sites highly

314 suitable for both species.

315

316 DISCUSSION

317 One of the possible adverse consequences of the presence of the exotic

318 aoudad in the south of Europe is its effect on other taxonomically related native

319 ungulates, or on ecologically convergent species. Here we present the first

320 study on habitat similarities between aoudad and Iberian ibex, according to data

321 on the distribution of both species in the southeast of the Iberian Peninsula.

322

323 On the methodological approach

324 The ENFA-based methodological approach used here (based on Chefaoui et al.

325 2005) could be of great utility for the study of the realized niches of most

326 species, as well as for monitoring the potential spread of invasive species

327 (Cassinello et al. 2006). Since the seminal works of Austin, Nicholls and

328 Margules (Margules et al. 1987; Nicholls 1989; Austin et al. 1990), Generalized

329 Linear and Generalized Additive Models (GLM and GAM, respectively), linked

330 to GIS applications, have become very popular in species distribution

331 predictions (e.g., Guisan et al. 2002; Nogués-Bravo & Martínez-Rica 2004).

332 When absence or pseudo-absence data are available, more robust habitat

333 models can be built from these techniques (e.g., Engler et al. 2004; but see

334 Hirzel et al. 2001). However, in the specific case of invading species, some

14 335 times these species are not yet occupying all their potential habitats in the

336 landscape, and ENFA could produce better results than GLM, as 'absence data'

337 of this species would not be reliable (Hirzel et al. 2001).

338

339 Given that both the Iberian ibex and the aoudad are under remarkable

340 expansion processes in the study region (Cassinello 2000; Pérez et al. 2002;

341 Cassinello et al. 2004; Acevedo et al. 2007), we used ENFA analyses to

342 implement maps of the potential distribution of both species. In addition, ENFA

343 could also be more useful than a GLM when ecological interpretation is the aim

344 of the study, even in situations where a GLM provides higher correlations to the

345 observed data (Hirzel et al. 2001). The niche-description methodology derived

346 by Chefaoui et al. (2005), based in such premises, is used here to describe the

347 realized niches of both caprids in southeastern Iberian Peninsula. However,

348 ENFA results usually overestimate habitat suitability (Zaniewski et al. 2002;

349 Engler et al. 2004); therefore, such limitation should be considered when

350 interpreting our results.

351

352 Niche description for the study species

353 The Iberian ibex and the aoudad occupy restricted habitats in the study area.

354 However, the ibex presents a higher tolerance of secondary environmental

355 gradients than the aoudad. This might suggest that the aoudad has as yet not

356 reached all potentially suitable areas in the region, some of them being located

357 at higher altitudes. According to the known biology and ecology of the aoudad

358 (e.g., Ogren 1965; Shackleton 1997; Cassinello 1998), and from our results

359 (see Fig. 1 and Cassinello et al. 2006), the species shows a strong potential to

15 360 reach and settle in other mountainous regions native to the Iberian ibex, such

361 as the Sierra Nevada mountain range (part of the Spanish National Parks

362 network since 1999).

363

364 According to our analyses, the aoudad selects areas characterized by high

365 slopes and altitude ranges, and an important presence of forests (see also

366 Cassinello et al. 2006). Such requirements agree with the habitat selection

367 made by the aoudad both in its native North African range (Shackleton 1997)

368 and in the regions where it has been introduced (Johnston 1980; Cassinello

369 2000). On the contrary, although the Iberian ibex also selects mountainous

370 areas, these are more marginal than those used by the aoudad, characterized

371 by low summer temperatures and high altitudes, and, to a lesser extent, by high

372 slopes (see also Acevedo et al. 2007) and high winter rainfall. In these areas,

373 food availability according to its diet is expected to be higher (Martínez &

374 Martínez 1987; Martínez 2000).

375

376 The results of this study defined a series of ecological traits that can be easily

377 related to the mountain ranges where the two study species are predominantly

378 found in the southeast of Spain (see Fig. 1). Thus, the aoudad ranges a wide

379 variety of mountainous regions of very different altitudes and scattered

380 throughout the study area (see Fig. 3a), whereas the ibex is found in spatially

381 restricted areas, in the mountain ranges with higher elevations in the study area

382 (Fig. 3b).

383

16 384 Cross-tabulated HSMs allowed the comparison between areas highly suitable

385 for one of the study species (but not for the other) and areas highly suitable for

386 both species (the areas of potential coexistence). Differences found between

387 the ecological variables included in the analyses can be explained by the

388 characteristics of the mountain ranges concerned. Basically, we appreciate

389 higher marginality values and lower plasticity in the Iberian ibex than in the

390 aoudad, which comparatively tends to act as a generalist in terms of habitat

391 preference (e.g., Gray & Simpson 1980; Escós & Alados 1992). Also, areas of

392 coexistence are more similar in terms of climate to highly suitable areas

393 exclusively of the ibex, so that before a hypothetical competitive situation, the

394 native caprid may be at an advantage. It is noticeable that the aoudad

395 significantly selects areas with lower winter rainfall and higher mean summer

396 temperatures, thus resembling its North African origin (Shackleton 1997).

397 Finally, the areas highly suitable for the aoudad are closer to urban areas and

398 roads than are those of the Iberian ibex, probably because of the higher niche

399 plasticity of aoudads and the location of their release site, the Sierra Espuña

400 and surrounding mountains (see Cassinello 2000).

401

402 Implications for conservation

403 A competition conflict could arise in areas of potential coexistence between the

404 Iberian ibex and the aoudad, due to the a priori biological similarities of both

405 caprids (Schaller 1977). Current distribution of the study species already

406 overlaps (Fig. 1), and our HSMs indicate that this overlap might increase in

407 time. If the aoudad reaches core native areas of the Iberian ibex (e.g., Sierra

17 408 Nevada, Sierra de Cazorla), the viability of ibex populations might be

409 compromised. But, would the aoudad actually be a threat to the Iberian ibex?

410

411 Given our results, currently the areas of coexistence of both species are

412 potentially scarce (merely 14.8% of all the highly suitable areas for the ibex) and

413 tend to be approaching to optimal conditions for the ibex. However, we are

414 probably not witnessing yet all the competitive potential between both species,

415 since the aoudad seems to have not yet reached its optimum. Nevertheles, as

416 Putman (1996) highlights, it is problematic to extract the implications for

417 competitive interactions from measures of niche overlap. High levels of overlap

418 can imply competition, but only if resources are limited. In fact, observations of

419 high overlap might equally well be indicative of a lack of competition (de Boer &

420 Prins 1990; Putman 1996). On the other hand, species segregation can also be

421 a result of competition. In our case, however, the aoudad has only recently

422 reached the domain of the Iberian ibex, so that we would not expect that

423 competition leading to segregation has already happened between both

424 species. As far as we know, it would be then premature to indicate whether the

425 aoudad will or will not be a threat to the native ibex and to which degree.

426

427 Despite this reasoning, recent evidence showed the displacement of the Iberian

428 ibex to suboptimal habitats by extensive livestock presence in central

429 Spain (Acevedo et al. 2007). This should alert us on possible similar effects in

430 southeastern Spain caused by the aoudad, a species strongly gregarious (Gray

431 & Simpson 1982; J. Cassinello, pers. obs.).

432

18 433 There is also another threat to be considered. Both study species are colonizing

434 new habitats in the south of Spain and their expansive movements are

435 noticeable (Pérez et al. 2002; Cassinello et al. 2004; Acevedo et al. 2007),

436 although both have experienced similar population decreases due to sarcoptic

437 mange episodes few years ago (Pérez et al. 1997; González-Candela & León-

438 Vizcaíno 1999). Concerning to future sarcoptic episodes, as the current ibex

439 distribution in the study region is characterized by isolated nuclei (see Fig. 1;

440 Pérez et al. 2002), contacts between them would be less probable than

441 contacts with hypothetically infected aoudad populations, which may occupy

442 larger extensions in the study area. Thus, if the aoudad acts as a vector of this

443 disease, it would then represent a risk for the ibex.

444

445 The increasing presence of exotic ungulates in Spain, due to sport hunting

446 introductions (i.e. the European mouflon and the aoudad), may particularly

447 threaten local plant species (Rodríguez-Piñero & Rodríguez-Luengo 1992). In

448 the case of the aoudad, its expansion might put the threatened, highly endemic

449 flora of Sierra Nevada at serious risk. The critical importance of such a

450 mountain range for the conservation of Iberian plant biodiversity (see, e.g.,

451 Castro Parga et al. 1996; Blanca et al. 1998; Lobo et al. 2001) means that

452 monitoring the aoudad habits (both intensity and grazed species) in its

453 expanding range should be a priority.

454

455 Finally, there is a series of factors that may determine the current degree of

456 Iberian ibex and aoudad expansion and the effects caused by the latter on

457 native fauna and flora. Recent climatic changes and the strong desertification

19 458 which is taking place in the southeast of Spain (e.g., Puigdefábregas &

459 Mendizábal 2004), resulting in lower rainfall regimes and higher mean annual

460 temperatures, may cause significant habitat changes which will favour the

461 expansion of a desert caprid, such as the aoudad. On the other hand, the

462 strong interest displayed in the aoudad by private game estates in the south of

463 Spain, and the subsequent risk of escaping from badly maintained

464 fences (Cassinello et al. 2004; P. Acevedo, direct observations), may speed up

465 this colonization process and therefore exacerbate their effects on the host

466 ecosystem.

467

468 To sum up, when looking at cumulative effects, the presence of the exotic

469 aoudad in the southeast of the Iberian Peninsula should be considered as a

470 major problem for the ecosystem. Although current evidences do not yet show

471 straight threats, we should start taking measures to prevent them to occur, as

472 we are dealing with an invasive alien species which should be strictly controlled

473 (see, e.g., Bergmans & Blom 2001; Wittenberg & Cock 2001;

474 http://www.iucn.org/en/news/archive/2001_2005/press/alien2001.html;

475 Genovesi & Shine 2003). One straightforward action to be taken should be the

476 erradication of the species. This may confront with opposite interests by hunters

477 and owners of game estates, and mainly with the difficulty of carrying out such

478 an enormous task on a population of probably more than 2,000 individuals

479 spread out across an extremely large area (Cassinello 2000; Cassinello et al.

480 2004). But time%is%critical,%and%if%no%action%is%taken%in%the%near%future,%the%ongoing%

481 expansion%of%the%species%will%reduce%the%possible%management%alternatives.

482

20 483 ACKNOWLEDGEMENTS

484 Our gratitude to F. Huettmann and two anonymous reviewers for their useful

485 comments and suggestions on a previous version of our manuscript. We thank

486 J.M. Lobo, A. Jiménez-Valverde, D. Nogués-Bravo and M.B. Araújo for the

487 outcome of hours of conceptual and practical discussion on niche modelling.

488 We are also indebted to J.M. Lobo, A. Jiménez-Valverde and R.M. Chefaoui for

489 their work on the original GIS database. The Spanish Instituto Nacional de

490 Meteorología kindly provided climate data for such database. PA has benefited

491 from a contract from the Universidad de Castilla-La Mancha. JC holds a Ramón

492 y Cajal research contract at the CSIC awarded by the Ministerio de Educación y

493 Ciencia (MEC), and is also supported by the project PBI-05-010 granted by

494 Junta de Comunidades de Castilla-La Mancha. Finally, JH was supported by a

495 Portuguese FCT (Fundação para a Ciência e Tecnologia) grant

496 (BPD/20809/2004), and also by the Spanish MEC project CGL2004-0439/.

497

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30 716 FIGURE CAPTIONS

717

718 Figure 1.- Presence data of the Iberian ibex (black dots) and the aoudad (grey

719 dots), and location of the study area. Provinces borders are shown along with

720 the main mountain ranges where the species can be found.

721

722 Figure 2.- Variation of mean habitat suitability scores along the marginality

723 factor. The factor was divided into 20 intervals, and mean HSM values are

724 shown. As marginality factors for both models were highly correlated, only one

725 was used for plot the figure, the ibex model.

726

727 Figure 3.- Habitat suitability maps for the study species: a) the aoudad, and b)

728 the Iberian ibex. Habitat suitability scores have been reclassified in three

729 categories (0-33 = low suitability, 34-66 = medium suitability, and 67-100 = high

730 suitability).

731

732 Figure 4.- Map showing the highly suitable areas (habitat suitability > 66) for

733 each one of the study species, as well as the areas of potential coexistence.

734

735 Figure 5.- Plots showing mean (±SE95%C.I.) values of some ecological variables

736 present in highly suitable areas for the aoudad, aoudad and Iberian ibex

737 (potential coexistence areas) and Iberian ibex. Statistically significant

738 differences are indicated in Table 3. (a) Percentage of forest and shrubland

739 areas; (b) maximum altitud and slope; (c) winter rainfall and mean summer

31 740 temprature; (d) distances to urban areas and roads. We have added solid and

741 dotted lines between the suitable areas in order to clarify the different trends.

742

32 743 Table 1.- Variables used in the analyses (and their measurement units).

744 Average values are shown for the whole study region (global), and for the areas

745 where the aoudad and the Iberian ibex are present.

Means VARIABLES (UNIT) Iberian Global Aoudad ibex CLIMATE Winter rainfall (mm) 132.92 108.65 209.14 Summer rainfall (mm) 46.29 40.73 61.69 Mean summer temperature (ºC) 22.95 21.9 19.28 Annual range of temperatures (ºC) 15.33 15.21 15.58 GEOMORPHOLOGY Maximum altitude (m) 806.46 1066.77 1670.46 Altitude range (m) 101.14 187.37 204.59 Mean slope (degrees) 5.56 10.40 11.21 Maximum slope (degrees) 12.23 23.01 22.24 HABITAT STRUCTURE Forest area (%) 11.86 33.17 39.80 Shrubland area (%) 27.72 33.88 17.08 HUMAN PRESSURE Distance to urban areas (m) 3974.88 5714.69 7335.62 Distance to the nearest road (m) 2050.21 2915.65 3431.15

33 Table 2.- Coefficients of the variables used in ENFA, and percentages explained by marginality (MF) and specialization factors

(SF).

Aoudad model Iberian Ibex model Variables SF 1 SF 2 SF 1 SF 2 MF MF (43.49%) (17.53%) (48.01%) (14.54%) Forest area 0.36 0.00 0.01 0.26 0.07 -0.14 Shrubland area 0.03 0.15 0.03 0.02 0.11 -0.27 Maximum altitude 0.26 -0.28 0.26 0.47 -0.10 -0.37 Distance to the nearest road 0.25 0.07 0.02 0.22 0.01 -0.08 Distance to urban areas 0.25 0.09 -0.10 0.27 0.04 -0.15 Maximum slope 0.49 0.11 -0.15 0.25 0.20 -0.04 Mean slope 0.43 -0.07 -0.36 0.28 -0.09 -0.05 Winter rainfall -0.16 0.58 -0.33 0.28 0.30 -0.40 Summer rainfall -0.04 -0.51 0.41 0.21 0.09 0.40 Altitude range 0.40 -0.03 0.23 0.27 -0.01 0.13 Annual range of temperatures -0.06 -0.44 -0.66 0.04 -0.89 -0.15 Mean summer temperature -0.24 -0.27 -0.07 -0.49 0.15 -0.61

34 Table 3.- Environmental differentiation between the areas of potential coexistence of the aoudad and the Iberian ibex, and the areas suitable to each one of these species (HS > 66 in both models). Results of the analyses of variance are shown; ANOVA test coefficient (F), Bonferroni-corrected p-value (ns = no significant, ***p ≤ 0.0001); the areas with significantly higher values for a given dependent variable in each comparison are indicated (A = aoudad, C = potential coexistence, and I = Iberian ibex).

Aoudad vs. potential Iberian ibex vs. potential Aoudad vs. Iberian ibex coexistence coexistence

Variables area with a area with a area with a higher higher higher F p-value F p-value F p-value mean mean mean value value value Forest area 56.52 *** C 72.13 *** I 8.34 ns - Shrubland area 19.28 *** A 0.82 ns - 14.75 *** I Maximum altitude 612.68 *** C 3212.16 *** I 27.82 *** I Distance to the nearest road 48.89 *** A 43.11 *** I 95.35 *** I Distance to urban areas 30.23 *** C 94.01 *** I 0.12 ns - Maximum slope 0.30 ns - 70.04 *** I 13.84 *** I Mean slope 0.52 ns - 225.10 *** I 57.60 *** I Winter rainfall 814.17 *** C 1046.59 *** I 65.42 *** C Summer rainfall 1168.11 *** C 941.18 *** I 84.14 *** C Altitude range 2.89 ns - 209.29 *** I 64.14 *** I Annual range of temperatures 193.29 *** C 150.00 *** I 96.73 *** C Mean summer temperature 498.62 *** A 2222.7 *** A 15.61 *** C

35

FIGURE 1

36

FIGURE 2

37

FIGURE 3a

38

FIGURE 3b

39

FIGURE 4

40

FIGURE 5a

41

FIGURE 5b

42

FIGURE 5c

43

FIGURE 5d

44